ML Anthology

Minimizing Environmental Swings with a Recurrent Neural Network Control System

Sam Skrivan, Jianna Zhang, Debra S. Jusak
AAAI 2005 pp. 1624-1625
/aaai/2005/skrivan2005aaai-minimizing/

Abstract

Maintaining environmental stability in a dynamic system is a difficult challenge. In your living room, when you set your thermostat to 68 degrees the actual temperature cycles above and below 68 degrees. We attempt to use a Recurrent Neural Network (RNN) in an Aquarium Control System that reduces such environmental swings (see Figure 1).

PDF AAAI Semantic Scholar

Cite

Text

Skrivan et al. "Minimizing Environmental Swings with a Recurrent Neural Network Control System." AAAI Conference on Artificial Intelligence, 2005.

Markdown

[Skrivan et al. "Minimizing Environmental Swings with a Recurrent Neural Network Control System." AAAI Conference on Artificial Intelligence, 2005.](https://mlanthology.org/aaai/2005/skrivan2005aaai-minimizing/)

BibTeX

@inproceedings{skrivan2005aaai-minimizing,
  title     = {{Minimizing Environmental Swings with a Recurrent Neural Network Control System}},
  author    = {Skrivan, Sam and Zhang, Jianna and Jusak, Debra S.},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2005},
  pages     = {1624-1625},
  url       = {https://mlanthology.org/aaai/2005/skrivan2005aaai-minimizing/}
}